74 lines
2.2 KiB
Python
74 lines
2.2 KiB
Python
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"""端到端: 总音量放大对响度与峰值的影响(播素材实测, 数据取自 EQ DSP 的状态区)。"""
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from __future__ import annotations
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import json
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import math
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import subprocess
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import time
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import urllib.request
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import wave
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import numpy as np
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API = "http://127.0.0.1:8789"
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WAV = "/tmp/e2e_white.wav"
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RATE = 96000
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def make_white() -> None:
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rng = np.random.default_rng(7)
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secs = 4.0
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x = rng.normal(0.0, 1.0, int(RATE * secs))
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x = x / (np.max(np.abs(x)) + 1e-12) * (10 ** (-12 / 20)) # 峰值 -12 dBFS
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data = (x * 32767).astype("<i2")
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with wave.open(WAV, "wb") as fh:
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fh.setnchannels(2)
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fh.setsampwidth(2)
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fh.setframerate(RATE)
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fh.writeframes(np.repeat(data, 2).tobytes())
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def post(path: str, payload: dict[str, object]) -> None:
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req = urllib.request.Request(API + path, data=json.dumps(payload).encode("utf-8"),
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headers={"Content-Type": "application/json"})
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urllib.request.urlopen(req, timeout=10).read()
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def state() -> dict[str, object]:
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raw = urllib.request.urlopen(API + "/api/state", timeout=10).read()
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return json.loads(raw)
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def play_and_read() -> dict[str, float]:
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proc = subprocess.Popen(["pw-play", "--target", "collaplex_vsink", WAV],
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stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL)
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time.sleep(1.6)
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levels = state().get("levels")
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time.sleep(0.2)
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proc.terminate()
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proc.wait(timeout=5)
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if not isinstance(levels, dict):
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return {"in_rms": -120.0, "out_rms": -120.0, "out_peak": -120.0}
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return {str(k): float(v) for k, v in levels.items()}
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def main() -> None:
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make_white()
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base: list[float] = []
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print("素材: 峰值 -12 dBFS 白噪")
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for db in (0.0, 6.0, 12.0):
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post("/api/volume", {"db": db})
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time.sleep(0.5)
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lv = play_and_read()
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out_rms = lv.get("out_rms", -120.0)
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out_peak = lv.get("out_peak", -120.0)
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base.append(out_rms)
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delta = out_rms - base[0]
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print("总音量 %+5.1f dB -> 出 RMS %6.2f dBFS (Δ%+5.2f) | 出峰值 %6.2f dBFS" % (
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db, out_rms, delta, out_peak))
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post("/api/volume", {"db": 6.0})
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if __name__ == "__main__":
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main()
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